How to Use the Cloud DNS (Anycast DNS Provider API) MCP in Pydantic AI
Enforce strict type validation on your Cloud DNS (Anycast DNS Provider API) changes with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cloud DNS (Anycast DNS Provider API) MCP to Pydantic AI
Create your Vinkius account to connect Cloud DNS (Anycast DNS Provider API) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-safe zone listing with Pydantic AI
The `list_zones` tool fetches your Anycast DNS zones and validates the structure against strict Python types at runtime. If the API returns a malformed zone object, Pydantic AI raises a validation error immediately rather than letting your agent make decisions based on corrupt data. This runtime safety net prevents silent failures in your automation pipelines. You can trust that the data your agent reads is always structured exactly as your application expects.
Validated record creation via MCP Server
The `create_record` tool requires your agent to supply validated parameters before sending the write request to Vinkius. Pydantic AI checks the record type, TTL, and target IP address against your schema definitions before the call executes. If the agent generates an invalid IP or an unsupported record type, the framework blocks the request. This keeps your live Anycast DNS records clean and free from syntax errors.
Safe record updates and deletion
The `update_record` and `delete_record` tools allow your agent to modify or prune entries with absolute type certainty. By using the unified MCP Server toolset class, you bind these tools to your agent with type hints that guide the model's tool calls. The model cannot hallucinate fields or send unexpected payloads to the API. Every change to your Anycast infrastructure is backed by Pydantic's robust validation engine.
Set up Cloud DNS (Anycast DNS Provider API) MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"cloud-dns-anycast-dns-provider-api-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Cloud DNS (Anycast DNS Provider API) tools.",
)
result = await agent.run("List recent Cloud DNS (Anycast DNS Provider API) transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloud DNS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Cloud DNS (Anycast DNS Provider API) MCP in Pydantic AI
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